Paolo Giorgini is Full Professor of Computer Science at the University of Trento, Department of Information Engineering and Computer Science (DISI). He received his degree in Electronic Engineering in 1994 and his PhD in Computer Science and Engineering in 1998 from the University of Ancona, now Università Politecnica delle Marche, where his academic background was in information and computer engineering. After completing his PhD, he joined the University of Trento, where he progressed from postdoctoral researcher to Assistant Professor, Associate Professor, and Full Professor in 2018.
His research career started in Artificial Intelligence, belief revision, and multi-agent systems, and later developed toward agent- and goal-oriented software engineering, requirements engineering, security, and privacy. More recently, his research has expanded toward Agentic AI, autonomous and self-evolving software systems, AI-enabled software engineering, and Artificial Intelligence for medical imaging and clinical decision support.
Alongside research and teaching, he has held several academic leadership positions, including Head of the Department of Information Engineering and Computer Science from 2019 to 2024, Founder and Head of the Industrial Innovation PhD Program, and Head of the International PhD School on ICT.
Autonomous and self-evolving agents, BDI architectures, goal-oriented reasoning, and LLM-enabled agentic systems.
AI-assisted requirements, knowledge acquisition, reasoning, code generation, and software systems that evolve over time.
Medical imaging, automated reporting, clinical decision support, and predictive modeling.
Augmented Health Environments → · MedicinAI →Tropos, goal-oriented requirements engineering, security and privacy engineering, and socio-technical systems.
Tropos → · STS-Tool →Trentino DataMine is a major PNRR innovation infrastructure project coordinated by the University of Trento. Its data center, Intacture, is being developed inside the San Romedio mine in Trentino as a highly secure and sustainable environment for advanced digital services, with applications spanning Artificial Intelligence, life sciences, cybersecurity, energy transition, and data-intensive research.
Intacture · official website →Coordination of the University of Trento participation in FAIR and Co-PI of Spoke 2, Integrative AI, investigating reasoning and learning, symbolic and sub-symbolic AI, and data-driven and model-based approaches.
Official FAIR page →A strategic initiative strengthening Artificial Intelligence research and innovation across the University of Trento and the wider Trentino ecosystem, fostering multidisciplinary collaboration among academia, public institutions, and industry.
Co-founded with Stefano Bonvini and developed with Hub Innovazione Trentino, bringing together students, researchers, clinicians, and medical-technology companies around real clinical challenges and AI-enabled prototypes.
Official MediTech Challenge page →Department of Information Engineering and Computer Science.
Bachelor in Computer Science.
Master in Artificial Intelligence Systems.
Agent-Oriented Software Engineering · Requirements Engineering · Organizational Information Systems · Conceptual Modeling · Database and Business Intelligence · Knowledge Management
Security Requirements Engineering · MIT Press, 2016
Social Modeling for Requirements Engineering · MIT Press, 2010
I have been actively involved in the international research community through conference organization, steering and program committees, editorial activities, and peer review, particularly in Artificial Intelligence, Software Engineering, Requirements Engineering, Conceptual Modeling, and Information Systems.
My academic service has included leading roles and long-term involvement in major international conferences and research communities.